Use image statistcs and metadata

[t-schanz]

We could calculate different moments from the images and also use the information about height width etc and use this together with the classifier to make predictions.

The way I am imagine this right now is:

1. Use the classifier to get probabilities for each class
2. Append all the meta-info to the probabilities
3. Use catboost, random forest or something similar to make the final prediction